Prevalence of chronic kidney disease stages 3-5 among patients with type 2 diabetes mellitus in Bangladesh

Rahim, Muhammad Abdur; Mitra, Palash; Haque, Hasna Fahmima; Samdani, Tasrina Shamnaz; Zaman, Shahana; Uddin, Khwaja Nazim

doi:10.3329/imcjms.v11i1.31934

Cited by 10 publications

(7 citation statements)

References 16 publications

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“…The prevalence of renal impairment using the MDRD equations (19.4%) was comparable with the study conducted in Australia (23.1%) [ 36 ], and United Arab Emirate (22.3%) [ 37 ] but lower than studies from Singapore [ 38 ], Netherland [ 39 ], and Brazil [ 20 ] where the prevalence of renal impairment has ranged from 25–53%. The magnitude of renal impairment was higher than the findings in Gondar (14.3%) [ 40 ] and Nigeria (11.4%) [ 41 ] but relatively lower than the findings in Kenya (38.6%) [ 42 ] and Bangladesh (54.5%) [ 43 ] when eGFR was assessed with CKD-EPI equation. These variations in the prevalence of renal impairment between this study and other studies might be expressed by the differences in study designs, socio-demographic and clinical characteristics of the study participants and differences in ethnic background of the study participants.…”

Section: Discussioncontrasting

confidence: 59%

Assessment of renal impairment using estimated glomerular filtration rate among type 2 diabetes mellitus patients in North-East Ethiopia: a cross-sectional study

Taderegew

2020

J Diabetes Metab Disord

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Background Chronic kidney disease (CKD) is the known cause of morbidity and mortality among diabetes mellitus (DM) patients. Targeted screening of renal impairment based on estimated glomerular filtration rate (eGFR) among DM patients has potential benefits in early identification and treatment of CKD. Hence, this study was aimed to estimate the magnitude of renal impairment using eGFR among type 2 DM patients. Methods An institution-based cross-sectional study was conducted from February-1 to April 30/2020 among 422 type 2 DM patients in Northeast Ethiopia. Data were collected by the semi-structured questioner and serum creatinine measurement. The collected data were edited into Epi-data manager version 4.4.1.0, and the analysis was performed by SPSS-25. The Simplified Modification of Diet in Renal Disease (MDRD), Chronic Kidney Disease Epidemiology (CKD-EPI), and Cockcroft-Gault (C-G) equations were used to calculate eGFR. Results Of all study participants, 82(19.4%), 92(21.8%), and 103(24.4%) had eGFR < 60 ml/min/1.73 m2, according to the MDRD, CKD-EPI, and C-G equations, respectively. Female sex, (MDRD:AOR = 4.44, 95%CI:1.97–9.97, CKD-EPI:AOR = 3.17, 95%CI:1.27–6.17, and C-G:AOR = 2.65, 95%CI:1.35–5.21), duration ≥ 10 years (MDRD:AOR = 3.38, 95%CI:1.45–7.92, CKD-EPI:AOR = 3.09, 95%CI:1.07–7.77, and C-G:AOR = 2.92, 95%CI:1.29–6.61), age ˃60 years (MDRD:AOR = 2.29, 95%CI:1.09–4.77, CKD-EPI:AOR = 4.12, 95%CI:1.68–6.78, and C-G: AOR = 3.42, 95%CI:1.77–6.60), hypertension (MDRD:AOR = 3.12, 95%CI:1.51–6.45, CKD-EPI: AOR = 4.21,95%CI:2.07–7.98, and C-G:AOR = 3.99, 95%CI:2.08–7.65), poor glycemic control (MDRD:AOR = 2.82, 95%CI:1.13–7.05, and C-G:AOR = 2.34, 95%CI:1.09–5.04), and body mass index (MDRD:AOR = 1.11, 95%CI:1.01–1.22, and CKD-EPI:AOR = 2.43, 95%CI:1.27–5.76) were significantly associated with renal impairment. Conclusion Renal impairment was prevalent among type 2 DM patients. Older age, female sex, duration, hypertension, poor glycemic control, and BMI were significantly associated with renal impairment.

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Section: Discussioncontrasting

confidence: 59%

Assessment of renal impairment using estimated glomerular filtration rate among type 2 diabetes mellitus patients in North-East Ethiopia: a cross-sectional study

Taderegew

2020

J Diabetes Metab Disord

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“…A number of studies in Bangladesh have also reported the prevalence of kidney disease in different population groups [ 22 , 23 , 24 ]. A few studies have reported on CKD in patients with T2D and its determinants in Bangladesh at community levels [ 25 ], in slums [ 26 ], in the rural population [ 27 ], or during screening [ 28 ]. However, information on CKD and its associated factors in T2D patients in urban hospitals is limited.…”

Section: Introductionmentioning

confidence: 99%

Factors Associated with Chronic Kidney Disease in Patients with Type 2 Diabetes in Bangladesh

Islam

Salehin

Zaman

et al. 2021

IJERPH

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Diabetes and chronic kidney disease (CKD) are a major public health burden in low- and middle-income countries. This study aimed to explore factors associated with CKD in patients with type 2 diabetes (T2D) in Bangladesh. A cross-sectional study was conducted among 315 adults with T2D presenting at the outpatient department of Bangladesh Institute of Health Sciences (BIHS) hospital between July 2013 to December 2013. CKD was diagnosed based on the estimated glomerular filtration rate using the ‘Modification of Diet in Renal Disease’ equations and the presence of albuminuria estimated by the albumin-to-creatinine ratio. Multivariate logistic regression analysis was used to determine the factors associated with CKD. The overall prevalence of CKD among patients with T2D was 21.3%. In the unadjusted model, factors associated with CKD included age 40–49 years (OR: 5.7, 95% CI: 1.3–25.4), age 50–59 years (7.0, 1.6–39), age ≥60 years (7.6, 1.7–34), being female (2.2, 1.2–3.8), being hypertensive (1.9, 1.1–3.5), and household income between 10,001 and 20,000 Bangladeshi taka, BDT (2.9, 1.0–8.2) compared with income ≤10,000 BDT. However, after adjustment of other covariates, only the duration of hypertension and household income (10,001–20,000 BDT) remained statistically significant. There is a need to implement policies and programs for early detection and management of hypertension and CKD in T2D patients in Bangladesh.

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“…Multivariable regression analysis showed that the inflammation markers (CRP), dietary nutrients intake (calorie and protein), comorbidity, and socioeconomic variables (eg, income, rural/urban habitant) remained in the model without having significant association with MIS ( P > .05), despite showed significant association in the bivariate analysis. Most of the earlier studies 7,34-36 in Bangladesh reported that age, sex, and comorbidities (mainly hypertension and diabetes) were risk factors for CKD. However, globally, data regarding associated factors with MIS are scarce, as in Bangladesh, thus making it unable to be compared with the present findings (findings from multivariable analysis in Table 5).…”

Section: Discussionmentioning

confidence: 99%

Factors associated with the malnutrition inflammation score (MIS) among hemodialysis patients in Dhaka city: a cross-sectional study in tertiary care hospitals

Bint Harun,

Kawser,

Nabi

et al. 2024

Porto Biomedical Journal

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Background: Chronic kidney disease (CKD) is a progressive disease that leads to end-stage renal disease (ESRD). Malnutrition increases the risk of mortality among patients with ESRD. This study aimed to determine malnutrition prevalence and associated factors among twice-weekly (n = 94/120) and thrice-weekly (n = 26/120) hemodialysis patients/HDP. Method: A cross-sectional study was conducted at two tertiary-level public hospitals in Dhaka city using a consecutive sampling technique from April to June 2021. Nutritional status was assessed by Malnutrition Inflammation Score (MIS). Multivariable ordinal logistic regression was performed to determine which socioeconomic, clinical, anthropometric, biochemical, and dietary factors are associated with MIS. Results: The prevalence of malnutrition was very high among HDP (severe 15.5%, mild/moderate 56.7%) with an average dialysis vintage of 28.7 months. Comorbidities (80.8%) and gastrointestinal symptoms/GIS (68.3%) were ubiquitous, and “dialysis frequencies” were not associated with MIS in bivariate analysis. Multivariable ordinal regression showed that anthropometric factors like mid-upper arm circumference/MUAC (adjusted odds ratio/AOR = 0.978), post-dialysis body mass index/BMI (AOR = 0.957), and biochemical parameters like albumin (AOR = 0.733) and TIBC/total iron binding capacity (AOR = 0.996) negatively (P < .05) associated with MIS. Moreover, having “no GIS” (AOR = 0.672, P < .001) was 33.0% less likely to be associated with MIS. Contrarily, as the month of dialysis increases, MIS increases by 22.0% (AOR = 1.22). Conclusion: Significant associations of clinical, anthropometric, and biochemical characteristics with MIS indicate the importance of routine screening of the nutritional status of patients with CKD to improve health status and prevent protein-energy wasting. The MIS could be a simple, noninvasive tool for testing nutritional status in patients with CKD.

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Prevalence of chronic kidney disease stages 3-5 among patients with type 2 diabetes mellitus in Bangladesh

Cited by 10 publications

References 16 publications

Assessment of renal impairment using estimated glomerular filtration rate among type 2 diabetes mellitus patients in North-East Ethiopia: a cross-sectional study

Assessment of renal impairment using estimated glomerular filtration rate among type 2 diabetes mellitus patients in North-East Ethiopia: a cross-sectional study

Factors Associated with Chronic Kidney Disease in Patients with Type 2 Diabetes in Bangladesh

Factors associated with the malnutrition inflammation score (MIS) among hemodialysis patients in Dhaka city: a cross-sectional study in tertiary care hospitals

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